Matthew D. Rayson, Lachlan Astfalck, Aurelien L. S. Ponte, Andrew P. Zulberti, Nicole L. Jones
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引用次数: 0
Abstract
We present a new parametric auto-covariance kernel function for characterizing properties of the mesoscale eddy field and the nonphase-locked internal tide from ocean time series records. We demonstrate that the model captures the important spectral properties, namely the spectral roll-off of the mesoscale continuum and the broad spectral “cusps” centered around the tidal forcing frequencies. The spectral cusp model has three main parameters that characterize the nonphase-locked internal tide: the amplitude, a decorrelation timescale, and a shape parameter that captures the rate at which the cusp rolls away. Estimation of the third shape parameter is novel. We argue that an integral timescale is the most suitable characteristic timescale and show how it relates to the parametric decorrelation timescale. A key innovation of this work is that we estimate the parameters in the frequency domain using the debiased Whittle likelihood. We apply our spectral parameter estimation technique to outputs from idealized and realistic numerical experiments of internal tides propagating through a mesoscale eddy field. We demonstrate that the nonphase-locked internal tide integral timescale was 2–7 d, and is influenced by the Rossby number of the mesoscale flow field, which is linked to the eddy timescale, and is relatively constant in space. Furthermore, we demonstrate that the internal tide integral timescale is set by the global properties of the eddy field because internal waves have memory of past interactions. The intended use of our parametric kernel functions are for generating probabilistic predictions of ocean time series.